DATA SCIENCE & ANALYTICS track in the Multidisciplinary MS program
Data science and analytics (DSA) is a fast-growing discipline leading to excellent job opportunities in a variety of fields, including business, industry, health, government, and education. Students who enroll in the multidisciplinary studies DSA track will be guided to create their best degree curriculum based on their own career aspirations.
The curriculum includes courses covering big data, statistics, machine learning, database management, data visualization, programming, and business intelligence. All students will have applied and experiential learning opportunities, be involved in research, and be required to complete an internship.
The degree program is interdisciplinary in nature. Students will have the benefit of studying from experts in the respective fields in a coordinated curriculum. The DSA curriculum will be combined with business and communication courses allowing graduates to become leaders in their profession.
WHO SHOULD APPLY
The data being collected everywhere in our lives has been hailed as the oil of the new century. The need to understand such data has generated a demand for skilled data analysts.The DSA track is designed for individuals with quantitative talent, scientific background, and an entrepreneurial mindset wanting to join the data revolution that is changing all aspects of modern life.
A bachelor's degree from an accredited college or university with a minimum cumulative GPA of 2.5 (4.0 scale).
A two- to three-page statement of intent essay that includes educational and professional objectives and reasons for interest in a nontraditional study format.
Signed principal adviser consent form. Students in the DSA track will be advised by Dr. Joaquín Carbonara or Dr. Barbara Sherman.
An interview with Dr. Kimberly Jackson, the multidisciplinary program coordinator, who will contact the student for an appointment after the completed application is received.
In addition, all applicants should review the Admission to a Graduate Program section in the Graduate Catalog (catalog. buffalostate.edu/graduate).
Students in this curriculum engage immediately in advanced courses in math and computer science. Certain background knowledge is necessary for success in the curriculum. It is recommended that applicants should have completed introductory-level undergraduate or equivalent coursework in computer programing, calculus, and basic statistics. If needed, the preparatory courses are available by advisement.
For specifics about the multidisciplinary studies program and graduate study guidelines:
Dr. Kimberly Jackson Cleveland Hall 204
1300 Elmwood Avenue
Buffalo, NY 14222
For DSA track information and admission guidance:
Dr. Joaquín Carbonara (math/statistics) (716) 587-2882
Dr. Barbara Sherman (CIS) (716) 878-4925
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